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Removed en-us from all URLs (3) in JSON content.
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docs/relational-databases/json/format-query-results-as-json-with-for-json-sql-server.md

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@@ -97,7 +97,7 @@ The output of the **FOR JSON** clause has the following characteristics:
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- A small result set may contain a single row.
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- A large result set splits the long JSON string across multiple rows.
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- By default, SQL Server Management Studio (SSMS) concatenates the results into a single row when the output setting is **Results to Grid**. The SSMS status bar displays the actual row count.
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- Other client applications may require code to recombine lengthy results into a single, valid JSON string by concatenating the contents of multiple rows. For an example of this code in a C# application, see [Use FOR JSON output in a C# client app](https://docs.microsoft.com/en-us/sql/relational-databases/json/use-for-json-output-in-sql-server-and-in-client-apps-sql-server#use-for-json-output-in-a-c-client-app).
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- Other client applications may require code to recombine lengthy results into a single, valid JSON string by concatenating the contents of multiple rows. For an example of this code in a C# application, see [Use FOR JSON output in a C# client app](../../relational-databases/json/use-for-json-output-in-sql-server-and-in-client-apps-sql-server.md#use-for-json-output-in-a-c-client-app).
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![Example of FOR JSON output](../../relational-databases/json/media/forjson-example2.png)
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docs/relational-databases/json/import-json-documents-into-sql-server.md

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@@ -99,7 +99,7 @@ You can also use OPENROWSET(BULK) as described above to read JSON files from oth
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pages_i int, author nvarchar(100)) AS book
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```
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For more info about Azure File Storage, see [File storage](https://azure.microsoft.com/en-us/services/storage/files/).
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For more info about Azure File Storage, see [File storage](https://azure.microsoft.com/services/storage/files/).
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## Import JSON documents from Azure Blob Storage
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docs/relational-databases/json/json-data-sql-server.md

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@@ -275,7 +275,7 @@ FROM OPENJSON (@jsonVariable, N'$.Orders.OrdersArray')
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- If your line-delimited JSON files are stored in Azure Blob Storage or the Hadoop file system, you can use Polybase to load JSON text, parse it in Transact-SQL code, and load it into tables.
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## Test drive built-in JSON support
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**Test drive built-in JSON support with the AdventureWorks sample database.** To get the AdventureWorks sample database, download at least the database file and the samples and scripts file from [here](https://www.microsoft.com/en-us/download/details.aspx?id=49502). After you restore the sample database to an instance of SQL Server 2016, unzip the samples file and open the "JSON Sample Queries procedures views and indexes.sql" file from the JSON folder. Run the scripts in this file to reformat some existing data as JSON data, run sample queries and reports over the JSON data, index the JSON data, and import and export JSON.
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**Test drive built-in JSON support with the AdventureWorks sample database.** To get the AdventureWorks sample database, download at least the database file and the samples and scripts file from [here](https://www.microsoft.com/download/details.aspx?id=49502). After you restore the sample database to an instance of SQL Server 2016, unzip the samples file and open the "JSON Sample Queries procedures views and indexes.sql" file from the JSON folder. Run the scripts in this file to reformat some existing data as JSON data, run sample queries and reports over the JSON data, index the JSON data, and import and export JSON.
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Here's what you can do with the scripts included in the file.
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